Autonomous Emergency Braking (AEB) systems play a critical role in ensuring vehicle safety by detecting potential rear-end collisions and automatically applying brakes to mitigate or prevent accidents. This paper focuses on establishing a framework for the Verification & Validation (V&V) of Advanced Driver Assistance Systems (ADAS) by testing & verifying the functionality of a RADAR-based AEB ECU. A comprehensive V&V approach was adopted, incorporating both virtual and physical testing. For virtual testing, closed-loop Hardware-in-Loop (HIL) simulation technique was employed. The AEB ECU was interfaced with the real-time hardware via CAN. Data for the relevant target such as the target position, velocity etc. was calculated using an ideal RADAR sensor model running on the real-time hardware. The methodology involved conducting a series of test scenarios, including various driving speeds, obstacle types, and braking distances. Automation was leveraged to perform automated testing and report generation with pass-fail assessment for each test scenario. For physical testing, virtual test scenarios were recreated on a closed test track with the help of appropriate test equipment. Performance evaluation of the AEB ECU was conducted by installing it in a test vehicle and subjecting it to the recreated test scenarios. Test results and future scope are summarized at the end of the paper.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Framework for the Verification & Validation (V&V) of Advanced Driver Assistance Systems


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    Symposium on International Automotive Technology ; 2024



    Publication date :

    2024-01-16




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    SENSOR PERFORMANCE VALIDATION IN ADVANCED DRIVER-ASSISTANCE SYSTEM VERIFICATION

    YEZERSKY GRIGORY / BERKOOZ GAHL / DIAZ MICHAEL et al. | European Patent Office | 2022

    Free access

    SENSOR PERFORMANCE VALIDATION IN ADVANCED DRIVER-ASSISTANCE SYSTEM VERIFICATION

    YEZERSKY GRIGORY / BERKOOZ GAHL / DIAZ MICHAEL et al. | European Patent Office | 2022

    Free access

    Validation methodology for advanced driver assistance systems

    Carrera,P. / Fermi,U. / Centro Ricerche Fiat,IT et al. | Automotive engineering | 1999


    VALSE - Validation of Advanced Driver Assistance Systems

    Athanasas, K. / Bonnet, C. / Fritz, H. et al. | British Library Conference Proceedings | 2003


    A Simulation Tool for Virtual Validation and Verification of Advanced Driver Assistance Systems

    Tulpule, Punit / Midlam-Mohler, Shawn / Karumanchi, Aditya et al. | British Library Conference Proceedings | 2021